Victoria's Secret (VSXY) Shares Outstanding (2020 - 2026)
Victoria's Secret's Shares Outstanding came in at 80 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), unchanged from 80 million a year earlier and down 1.2% from the prior quarter.
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Analysis
Victoria's Secret (VSXY) Shares Outstanding (2020 - 2026) Analysis & Trends
Going back to fiscal Q2 2021, Victoria's Secret's Shares Outstanding data covers 25 quarters.
- Shares Outstanding carries a five-year compound annual growth rate of -1.9% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding was 79 million in FY2025 (+1.3%), 78 million in FY2024 (-4.9%), 82 million in FY2023 (-6.8%) and 88 million in FY2022 (unchanged).
- The five-year range for quarterly Shares Outstanding is 77 million (fiscal Q2 2024) to 88 million (fiscal Q4 2022).
- Year-over-year, Shares Outstanding increased in seven of the last eight quarters, with growth averaging 1.8%.
- The fastest year-over-year change in Shares Outstanding over five years came in fiscal Q3 2025 (growth of 2.6%), and the weakest in fiscal Q3 2023 (a decline of 8.0%).
- Business Quant data shows VSXY's Shares Outstanding at 81 million (Q1 2027), 80 million (Q4 2026) and 81 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | Victoria's Secret | 7.07 Bn | 5.64 Bn | 759.00 Mn | 80.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 80.00 Mn |
| May 2, 2026 | 81.00 Mn |
| Jan 31, 2026 | 80.00 Mn |
| Nov 1, 2025 | 81.00 Mn |
| Aug 2, 2025 | 80.00 Mn |
| May 3, 2025 | 79.00 Mn |
| Feb 1, 2025 | 79.00 Mn |
| Nov 2, 2024 | 79.00 Mn |
| Aug 3, 2024 | 78.00 Mn |
| May 4, 2024 | 78.00 Mn |
| Feb 3, 2024 | 78.00 Mn |
| Oct 28, 2023 | 77.00 Mn |
| Jul 29, 2023 | 77.00 Mn |
| Apr 29, 2023 | 78.00 Mn |
| Jan 28, 2023 | 82.00 Mn |
| Oct 29, 2022 | 81.00 Mn |
| Jul 30, 2022 | 83.00 Mn |
| Apr 30, 2022 | 84.00 Mn |
| Jan 29, 2022 | 88.00 Mn |
| Oct 30, 2021 | 88.00 Mn |
API Access
Victoria's Secret Shares Outstanding API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding&ticker=VSXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "VSXY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();